trappy.thermal module¶
Process the output of the power allocator trace in the current directory’s trace.dat
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class
trappy.thermal.Thermal(parse_raw=False)[source]¶ Bases:
trappy.base.BaseProcess the thermal framework data in a FTrace dump
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name= 'thermal'¶ The name of the
pandas.DataFramemember that will be created in atrappy.ftrace.FTraceobject
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pivot= 'id'¶ The Pivot along which the data is orthogonal
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plot_temperature(control_temperature=None, title='', width=None, height=None, ylim='range', ax=None, legend_label='', tz_id=None)[source]¶ Plot the temperature.
Parameters: - ax (
matplotlib.Axis) – Axis instance - legend_label (str) – Label for the legend
- title (str) – The title of the plot
- control_temperature (
pandas.Series) – If control_temp is apd.Seriesrepresenting the (possible) variation ofcontrol_tempduring the run, draw it using a dashed yellow line. Otherwise, only the temperature is plotted. - width (int) – The width of the plot
- height (int) – The height of the plot
- tz_id (int) – thermal zone id as it appears in the id field of the thermal_temperature trace event
- ax (
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plot_temperature_hist(ax, title)[source]¶ Plot a temperature histogram
Parameters: - ax (
matplotlib.Axis) – Axis instance - title (str) – The title of the plot
- ax (
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unique_word= 'thermal_temperature:'¶ The unique word that will be matched in a trace line
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class
trappy.thermal.ThermalGovernor(parse_raw=False)[source]¶ Bases:
trappy.base.BaseProcess the power allocator data in a ftrace dump
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name= 'thermal_governor'¶ The name of the
pandas.DataFramemember that will be created in atrappy.ftrace.FTraceobject
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pivot= 'thermal_zone_id'¶ The Pivot along which the data is orthogonal
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plot_inout_power(title='')[source]¶ Make multiple plots showing input and output power for each actor
Parameters: title (str) – The title of the plot
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plot_input_power(actor_order, title='', width=None, height=None, ax=None)[source]¶ Plot input power
Parameters: - ax (
matplotlib.Axis) – Axis instance - title (str) – The title of the plot
- width (int) – The width of the plot
- height – The height of the plot
- actor_order (list) –
An array showing the order in which the actors were registered. The array values are the labels that will be used in the input and output power plots.
For Example:
["GPU", "A15", "A7"]
- ax (
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plot_output_power(actor_order, title='', width=None, height=None, ax=None)[source]¶ Plot output power
Parameters: - ax (
matplotlib.Axis) – Axis instance - title (str) – The title of the plot
- width (int) – The width of the plot
- height – The height of the plot
- actor_order (list) –
An array showing the order in which the actors were registered. The array values are the labels that will be used in the input and output power plots.
For Example:
["GPU", "A15", "A7"]
- ax (
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plot_temperature(title='', width=None, height=None, ylim='range', ax=None, legend_label='')[source]¶ Plot the temperature
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plot_weighted_input_power(actor_weights, title='', width=None, height=None, ax=None)[source]¶ Plot weighted input power
Parameters: - actor_weights (list) – An array of tuples. First element of the
tuple is the name of the actor, the second is the weight. The
array is in the same order as the
req_powerappear in the trace. - ax (
matplotlib.Axis) – Axis instance - title (str) – The title of the plot
- width (int) – The width of the plot
- height – The height of the plot
- actor_weights (list) – An array of tuples. First element of the
tuple is the name of the actor, the second is the weight. The
array is in the same order as the
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unique_word= 'thermal_power_allocator:'¶ The unique word that will be matched in a trace line
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